The role of virtual grid to increase contrast-to-noise ratio in thorax radiography

Authors

  • Ike Ade Nur Liscyaningsih Universitas Aisyiyah Yogyakarta, Indonesia
  • Ayu Mahanani Universitas Aisyiyah Yogyakarta, Indonesia
  • Anisa Nur Istiqomah Universitas Aisyiyah Yogyakarta, Indonesia
  • Muhammad Alwan Ma’ruf Universitas Aisyiyah Yogyakarta, Indonesia

DOI:

https://doi.org/10.31101/ijhst.v6i2.3756

Keywords:

Thorax, Contrast to Noise Ratio, Virtual Grid

Abstract

Thorax is a dense object, necessitating the use of a grid. However, hospitals use physical grids, which have drawbacks such as increased doses, appearance of artifacts, and a lack of ergonomics. To address these issues, virtual grid technology has been developed. This study aims to describe the thorax radiographic examination using a virtual grid and to compare the CNR of thorax radiographs using physical and virtual grids. This study uses a mixed-methods experimental, conducted at the Radiology Laboratory of 'Aisyiyah University Yogyakarta from November 2023 to May 2024. Data were collected through observation and experiments with a thorax phantom, physical and virtual grids, and CNR measurements at 5 points on images using ImageJ. The sample is thorax radiographic was tested in 5 trials each. Data analysis was performed using the paired samples T-Test. The results of thorax radiographic imaging using the virtual grid showed that after exposure, the image appeared on the monitor. Activating the virtual grid feature (ON) with 8:1 grid ratio, CNR were measured at each ROI. CNR with the physical grid were average of 27.22. With the virtual grid, the CNR were average of 40.81. These results indicate that the image quality using the virtual grid is superior. Statistical analysis showed a significant difference, with a p-value of 0.018. These findings suggest that the virtual grid not only improves image quality but also enhances workflow efficiency and operational ergonomics examinations. Future studies should explore the broader applicability of virtual grid technology in different radiographic modalities.

References

Abhinaya, L. M., & Arvind, M. (2021). Factors Affecting Image Quality For Optimal Radiodiagnosis. Int J Dentistry Oral Sci, 8(7), 3547-3549.

Adler, A. M., Carlton, R. R., & Stewart, K. L. (2022). Introduction to Radiologic and Imaging Sciences and Patient Care E-Book: Introduction to Radiologic and Imaging Sciences and Patient Care E-Book. Elsevier Health Sciences.

Asriningrum, S., Ansory, K., & Hasan, P. T. (2021). Faktor Eksposi terhadap Kualitas Citra Radiografi dan Dosis Pasien Menggunakan Parameter Penilaian Signal to Noise Ratio (SNR) pada Pemeriksaan Thorax Posteroanterior dengan Menggunakan Pesawat Computed Radiografi. Jurnal Imejing Diagnostik (JImeD), 7(1), 15-18.

Bequet, A. Y., Rusyadi, L., & Fatimah, F. (2020). Nilai Contrast to Noise Ratio (CNR) Radiograf Thorax PA antara menggunakan Grid dengan tanpa Menggunakan Grid. Jurnal Imejing Diagnostik (JImeD), 6(2), 60-64.

Bushong, S. (2016). Radiologic Science for Technologists: Physics, Biology and Protection, 11th: edn.

Huda, W., & Abrahams, R. B. (2015). Radiographic techniques, contrast, and noise in x-ray imaging. American Journal of Roentgenology, 204(2), W126-W131.

Kawamura, T., Naito, S., Okano, K., & Yamada, M. (2015). Improvement in image quality and workflow of x-ray examinations using a new image processing method,“Virtual Grid Technology”. Fujifilm Res Dev, 60, 21-7.

Kempski, K. M., Graham, M. T., Gubbi, M. R., Palmer, T., & Lediju Bell, M. A. (2020). Application of the generalized contrast-to-noise ratio to assess photoacoustic image quality. Biomedical optics express, 11(7), 3684-3698.

Lampignano, J., & Kendrick, L. E. (2024). Bontrager's Handbook of Radiographic Positioning and Techniques-E-Book: Bontrager's Handbook of Radiographic Positioning and Techniques-E-Book. Elsevier Health Sciences.

Long, B. W., Rollins, J. H., & Smith, B. J. (2016). Merrils Atlas of Radiographic Positioning & Procedure, Volume One.

Mukhtar, A. N., & Sutanto, H. (2015). Analisa Pengaruh Grid Rasio Dan Faktor Eksposi Terhadap Gambaran Radiografi Phantom Thorax. Youngster Physics Journal, 4(1), 133-138.

Pearce, E. C. (2009). Anatomi dan fisiologi untuk paramedis. PT Gramedia Pustaka Utama.

Priyono, S., Anam, C., & Budi, W. S. (2020). Pengaruh Rasio Grid Terhadap Kualitas Radiograf Fantom Kepala. Berkala Fisika, 23(1), 10-16.

Utami, A. P., Anggriani, J., & Istiqomah, A. N. (2019). Perbedaan Densitas Dan Kontras Thorax Dengan Menggunakan Grid Dan Tanpa Grid. Jri (Jurnal Radiografer Indonesia), 2(2), 121-131.

World Health Organization. (2016). Communicating radiation risks in paediatric imaging: information to support health care discussions about benefit and risk.

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Published

2024-11-30

How to Cite

Liscyaningsih, I. A. N., Mahanani, A., Istiqomah, A. N., & Ma’ruf, M. A. (2024). The role of virtual grid to increase contrast-to-noise ratio in thorax radiography. International Journal of Health Science and Technology, 6(2), 136–143. https://doi.org/10.31101/ijhst.v6i2.3756

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Original Research

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